oci.DataScience.ComputeTarget

Oracle Cloud Infrastructure v4.13.0, May 28 26

Viewing docs for Oracle Cloud Infrastructure v4.13.0
published on Thursday, May 28, 2026 by Pulumi

Schema (JSON)

pulumi/pulumi-oci

Viewing docs for Oracle Cloud Infrastructure v4.13.0
published on Thursday, May 28, 2026 by Pulumi

Schema (JSON)

pulumi/pulumi-oci

Example Usage

import * as pulumi from "@pulumi/pulumi";
import * as oci from "@pulumi/oci";

const testComputeTarget = new oci.datascience.ComputeTarget("test_compute_target", {
    compartmentId: compartmentId,
    computeConfigurationDetails: {
        computeType: computeTargetComputeConfigurationDetailsComputeType,
        instanceConfiguration: {
            instanceShape: computeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShape,
            bootVolumeSizeInGbs: Number(computeTargetComputeConfigurationDetailsInstanceConfigurationBootVolumeSizeInGbs),
            instanceShapeDetails: {
                memoryInGbs: computeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShapeDetailsMemoryInGbs,
                ocpus: computeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShapeDetailsOcpus,
            },
        },
        scalingPolicy: {
            policyType: computeTargetComputeConfigurationDetailsScalingPolicyPolicyType,
            autoScalingPolicies: [{
                autoScalingPolicyType: computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesAutoScalingPolicyType,
                initialInstanceCount: Number(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesInitialInstanceCount),
                maximumInstanceCount: Number(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesMaximumInstanceCount),
                minimumInstanceCount: Number(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesMinimumInstanceCount),
                rules: [{
                    metricExpressionRuleType: computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesMetricExpressionRuleType,
                    scaleInConfiguration: {
                        instanceCountAdjustment: Number(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleInConfigurationInstanceCountAdjustment),
                        pendingDuration: computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleInConfigurationPendingDuration,
                        query: computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleInConfigurationQuery,
                        scalingConfigurationType: computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleInConfigurationScalingConfigurationType,
                        threshold: Number(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleInConfigurationThreshold),
                    },
                    scaleOutConfiguration: {
                        instanceCountAdjustment: Number(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleOutConfigurationInstanceCountAdjustment),
                        pendingDuration: computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleOutConfigurationPendingDuration,
                        query: computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleOutConfigurationQuery,
                        scalingConfigurationType: computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleOutConfigurationScalingConfigurationType,
                        threshold: Number(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleOutConfigurationThreshold),
                    },
                    metricType: computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesMetricType,
                }],
            }],
            coolDownInSeconds: Number(computeTargetComputeConfigurationDetailsScalingPolicyCoolDownInSeconds),
            instanceCount: Number(computeTargetComputeConfigurationDetailsScalingPolicyInstanceCount),
            isEnabled: computeTargetComputeConfigurationDetailsScalingPolicyIsEnabled === "true",
        },
    },
    definedTags: {
        "Operations.CostCenter": "42",
    },
    description: computeTargetDescription,
    displayName: computeTargetDisplayName,
    freeformTags: {
        Department: "Finance",
    },
    metadata: computeTargetMetadata,
});

import pulumi
import pulumi_oci as oci

test_compute_target = oci.datascience.ComputeTarget("test_compute_target",
    compartment_id=compartment_id,
    compute_configuration_details={
        "compute_type": compute_target_compute_configuration_details_compute_type,
        "instance_configuration": {
            "instance_shape": compute_target_compute_configuration_details_instance_configuration_instance_shape,
            "boot_volume_size_in_gbs": int(compute_target_compute_configuration_details_instance_configuration_boot_volume_size_in_gbs),
            "instance_shape_details": {
                "memory_in_gbs": compute_target_compute_configuration_details_instance_configuration_instance_shape_details_memory_in_gbs,
                "ocpus": compute_target_compute_configuration_details_instance_configuration_instance_shape_details_ocpus,
            },
        },
        "scaling_policy": {
            "policy_type": compute_target_compute_configuration_details_scaling_policy_policy_type,
            "auto_scaling_policies": [{
                "auto_scaling_policy_type": compute_target_compute_configuration_details_scaling_policy_auto_scaling_policies_auto_scaling_policy_type,
                "initial_instance_count": int(compute_target_compute_configuration_details_scaling_policy_auto_scaling_policies_initial_instance_count),
                "maximum_instance_count": int(compute_target_compute_configuration_details_scaling_policy_auto_scaling_policies_maximum_instance_count),
                "minimum_instance_count": int(compute_target_compute_configuration_details_scaling_policy_auto_scaling_policies_minimum_instance_count),
                "rules": [{
                    "metric_expression_rule_type": compute_target_compute_configuration_details_scaling_policy_auto_scaling_policies_rules_metric_expression_rule_type,
                    "scale_in_configuration": {
                        "instance_count_adjustment": int(compute_target_compute_configuration_details_scaling_policy_auto_scaling_policies_rules_scale_in_configuration_instance_count_adjustment),
                        "pending_duration": compute_target_compute_configuration_details_scaling_policy_auto_scaling_policies_rules_scale_in_configuration_pending_duration,
                        "query": compute_target_compute_configuration_details_scaling_policy_auto_scaling_policies_rules_scale_in_configuration_query,
                        "scaling_configuration_type": compute_target_compute_configuration_details_scaling_policy_auto_scaling_policies_rules_scale_in_configuration_scaling_configuration_type,
                        "threshold": int(compute_target_compute_configuration_details_scaling_policy_auto_scaling_policies_rules_scale_in_configuration_threshold),
                    },
                    "scale_out_configuration": {
                        "instance_count_adjustment": int(compute_target_compute_configuration_details_scaling_policy_auto_scaling_policies_rules_scale_out_configuration_instance_count_adjustment),
                        "pending_duration": compute_target_compute_configuration_details_scaling_policy_auto_scaling_policies_rules_scale_out_configuration_pending_duration,
                        "query": compute_target_compute_configuration_details_scaling_policy_auto_scaling_policies_rules_scale_out_configuration_query,
                        "scaling_configuration_type": compute_target_compute_configuration_details_scaling_policy_auto_scaling_policies_rules_scale_out_configuration_scaling_configuration_type,
                        "threshold": int(compute_target_compute_configuration_details_scaling_policy_auto_scaling_policies_rules_scale_out_configuration_threshold),
                    },
                    "metric_type": compute_target_compute_configuration_details_scaling_policy_auto_scaling_policies_rules_metric_type,
                }],
            }],
            "cool_down_in_seconds": int(compute_target_compute_configuration_details_scaling_policy_cool_down_in_seconds),
            "instance_count": int(compute_target_compute_configuration_details_scaling_policy_instance_count),
            "is_enabled": compute_target_compute_configuration_details_scaling_policy_is_enabled == "true",
        },
    },
    defined_tags={
        "Operations.CostCenter": "42",
    },
    description=compute_target_description,
    display_name=compute_target_display_name,
    freeform_tags={
        "Department": "Finance",
    },
    metadata=compute_target_metadata)

package main

import (
	"github.com/pulumi/pulumi-oci/sdk/v4/go/oci/datascience"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := datascience.NewComputeTarget(ctx, "test_compute_target", &datascience.ComputeTargetArgs{
			CompartmentId: pulumi.Any(compartmentId),
			ComputeConfigurationDetails: &datascience.ComputeTargetComputeConfigurationDetailsArgs{
				ComputeType: pulumi.Any(computeTargetComputeConfigurationDetailsComputeType),
				InstanceConfiguration: &datascience.ComputeTargetComputeConfigurationDetailsInstanceConfigurationArgs{
					InstanceShape:       pulumi.Any(computeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShape),
					BootVolumeSizeInGbs: pulumi.Any(computeTargetComputeConfigurationDetailsInstanceConfigurationBootVolumeSizeInGbs),
					InstanceShapeDetails: &datascience.ComputeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShapeDetailsArgs{
						MemoryInGbs: pulumi.Any(computeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShapeDetailsMemoryInGbs),
						Ocpus:       pulumi.Any(computeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShapeDetailsOcpus),
					},
				},
				ScalingPolicy: &datascience.ComputeTargetComputeConfigurationDetailsScalingPolicyArgs{
					PolicyType: pulumi.Any(computeTargetComputeConfigurationDetailsScalingPolicyPolicyType),
					AutoScalingPolicies: datascience.ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyArray{
						&datascience.ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyArgs{
							AutoScalingPolicyType: pulumi.Any(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesAutoScalingPolicyType),
							InitialInstanceCount:  pulumi.Any(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesInitialInstanceCount),
							MaximumInstanceCount:  pulumi.Any(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesMaximumInstanceCount),
							MinimumInstanceCount:  pulumi.Any(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesMinimumInstanceCount),
							Rules: datascience.ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleArray{
								&datascience.ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleArgs{
									MetricExpressionRuleType: pulumi.Any(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesMetricExpressionRuleType),
									ScaleInConfiguration: &datascience.ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleInConfigurationArgs{
										InstanceCountAdjustment:  pulumi.Any(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleInConfigurationInstanceCountAdjustment),
										PendingDuration:          pulumi.Any(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleInConfigurationPendingDuration),
										Query:                    pulumi.Any(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleInConfigurationQuery),
										ScalingConfigurationType: pulumi.Any(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleInConfigurationScalingConfigurationType),
										Threshold:                pulumi.Any(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleInConfigurationThreshold),
									},
									ScaleOutConfiguration: &datascience.ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleOutConfigurationArgs{
										InstanceCountAdjustment:  pulumi.Any(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleOutConfigurationInstanceCountAdjustment),
										PendingDuration:          pulumi.Any(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleOutConfigurationPendingDuration),
										Query:                    pulumi.Any(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleOutConfigurationQuery),
										ScalingConfigurationType: pulumi.Any(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleOutConfigurationScalingConfigurationType),
										Threshold:                pulumi.Any(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleOutConfigurationThreshold),
									},
									MetricType: pulumi.Any(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesMetricType),
								},
							},
						},
					},
					CoolDownInSeconds: pulumi.Any(computeTargetComputeConfigurationDetailsScalingPolicyCoolDownInSeconds),
					InstanceCount:     pulumi.Any(computeTargetComputeConfigurationDetailsScalingPolicyInstanceCount),
					IsEnabled:         pulumi.Any(computeTargetComputeConfigurationDetailsScalingPolicyIsEnabled),
				},
			},
			DefinedTags: pulumi.StringMap{
				"Operations.CostCenter": pulumi.String("42"),
			},
			Description: pulumi.Any(computeTargetDescription),
			DisplayName: pulumi.Any(computeTargetDisplayName),
			FreeformTags: pulumi.StringMap{
				"Department": pulumi.String("Finance"),
			},
			Metadata: pulumi.Any(computeTargetMetadata),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Oci = Pulumi.Oci;

return await Deployment.RunAsync(() => 
{
    var testComputeTarget = new Oci.DataScience.ComputeTarget("test_compute_target", new()
    {
        CompartmentId = compartmentId,
        ComputeConfigurationDetails = new Oci.DataScience.Inputs.ComputeTargetComputeConfigurationDetailsArgs
        {
            ComputeType = computeTargetComputeConfigurationDetailsComputeType,
            InstanceConfiguration = new Oci.DataScience.Inputs.ComputeTargetComputeConfigurationDetailsInstanceConfigurationArgs
            {
                InstanceShape = computeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShape,
                BootVolumeSizeInGbs = computeTargetComputeConfigurationDetailsInstanceConfigurationBootVolumeSizeInGbs,
                InstanceShapeDetails = new Oci.DataScience.Inputs.ComputeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShapeDetailsArgs
                {
                    MemoryInGbs = computeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShapeDetailsMemoryInGbs,
                    Ocpus = computeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShapeDetailsOcpus,
                },
            },
            ScalingPolicy = new Oci.DataScience.Inputs.ComputeTargetComputeConfigurationDetailsScalingPolicyArgs
            {
                PolicyType = computeTargetComputeConfigurationDetailsScalingPolicyPolicyType,
                AutoScalingPolicies = new[]
                {
                    new Oci.DataScience.Inputs.ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyArgs
                    {
                        AutoScalingPolicyType = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesAutoScalingPolicyType,
                        InitialInstanceCount = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesInitialInstanceCount,
                        MaximumInstanceCount = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesMaximumInstanceCount,
                        MinimumInstanceCount = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesMinimumInstanceCount,
                        Rules = new[]
                        {
                            new Oci.DataScience.Inputs.ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleArgs
                            {
                                MetricExpressionRuleType = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesMetricExpressionRuleType,
                                ScaleInConfiguration = new Oci.DataScience.Inputs.ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleInConfigurationArgs
                                {
                                    InstanceCountAdjustment = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleInConfigurationInstanceCountAdjustment,
                                    PendingDuration = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleInConfigurationPendingDuration,
                                    Query = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleInConfigurationQuery,
                                    ScalingConfigurationType = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleInConfigurationScalingConfigurationType,
                                    Threshold = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleInConfigurationThreshold,
                                },
                                ScaleOutConfiguration = new Oci.DataScience.Inputs.ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleOutConfigurationArgs
                                {
                                    InstanceCountAdjustment = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleOutConfigurationInstanceCountAdjustment,
                                    PendingDuration = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleOutConfigurationPendingDuration,
                                    Query = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleOutConfigurationQuery,
                                    ScalingConfigurationType = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleOutConfigurationScalingConfigurationType,
                                    Threshold = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleOutConfigurationThreshold,
                                },
                                MetricType = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesMetricType,
                            },
                        },
                    },
                },
                CoolDownInSeconds = computeTargetComputeConfigurationDetailsScalingPolicyCoolDownInSeconds,
                InstanceCount = computeTargetComputeConfigurationDetailsScalingPolicyInstanceCount,
                IsEnabled = computeTargetComputeConfigurationDetailsScalingPolicyIsEnabled,
            },
        },
        DefinedTags = 
        {
            { "Operations.CostCenter", "42" },
        },
        Description = computeTargetDescription,
        DisplayName = computeTargetDisplayName,
        FreeformTags = 
        {
            { "Department", "Finance" },
        },
        Metadata = computeTargetMetadata,
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.oci.DataScience.ComputeTarget;
import com.pulumi.oci.DataScience.ComputeTargetArgs;
import com.pulumi.oci.DataScience.inputs.ComputeTargetComputeConfigurationDetailsArgs;
import com.pulumi.oci.DataScience.inputs.ComputeTargetComputeConfigurationDetailsInstanceConfigurationArgs;
import com.pulumi.oci.DataScience.inputs.ComputeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShapeDetailsArgs;
import com.pulumi.oci.DataScience.inputs.ComputeTargetComputeConfigurationDetailsScalingPolicyArgs;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var testComputeTarget = new ComputeTarget("testComputeTarget", ComputeTargetArgs.builder()
            .compartmentId(compartmentId)
            .computeConfigurationDetails(ComputeTargetComputeConfigurationDetailsArgs.builder()
                .computeType(computeTargetComputeConfigurationDetailsComputeType)
                .instanceConfiguration(ComputeTargetComputeConfigurationDetailsInstanceConfigurationArgs.builder()
                    .instanceShape(computeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShape)
                    .bootVolumeSizeInGbs(computeTargetComputeConfigurationDetailsInstanceConfigurationBootVolumeSizeInGbs)
                    .instanceShapeDetails(ComputeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShapeDetailsArgs.builder()
                        .memoryInGbs(computeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShapeDetailsMemoryInGbs)
                        .ocpus(computeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShapeDetailsOcpus)
                        .build())
                    .build())
                .scalingPolicy(ComputeTargetComputeConfigurationDetailsScalingPolicyArgs.builder()
                    .policyType(computeTargetComputeConfigurationDetailsScalingPolicyPolicyType)
                    .autoScalingPolicies(ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyArgs.builder()
                        .autoScalingPolicyType(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesAutoScalingPolicyType)
                        .initialInstanceCount(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesInitialInstanceCount)
                        .maximumInstanceCount(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesMaximumInstanceCount)
                        .minimumInstanceCount(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesMinimumInstanceCount)
                        .rules(ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleArgs.builder()
                            .metricExpressionRuleType(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesMetricExpressionRuleType)
                            .scaleInConfiguration(ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleInConfigurationArgs.builder()
                                .instanceCountAdjustment(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleInConfigurationInstanceCountAdjustment)
                                .pendingDuration(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleInConfigurationPendingDuration)
                                .query(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleInConfigurationQuery)
                                .scalingConfigurationType(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleInConfigurationScalingConfigurationType)
                                .threshold(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleInConfigurationThreshold)
                                .build())
                            .scaleOutConfiguration(ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleOutConfigurationArgs.builder()
                                .instanceCountAdjustment(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleOutConfigurationInstanceCountAdjustment)
                                .pendingDuration(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleOutConfigurationPendingDuration)
                                .query(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleOutConfigurationQuery)
                                .scalingConfigurationType(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleOutConfigurationScalingConfigurationType)
                                .threshold(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleOutConfigurationThreshold)
                                .build())
                            .metricType(computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesMetricType)
                            .build())
                        .build())
                    .coolDownInSeconds(computeTargetComputeConfigurationDetailsScalingPolicyCoolDownInSeconds)
                    .instanceCount(computeTargetComputeConfigurationDetailsScalingPolicyInstanceCount)
                    .isEnabled(computeTargetComputeConfigurationDetailsScalingPolicyIsEnabled)
                    .build())
                .build())
            .definedTags(Map.of("Operations.CostCenter", "42"))
            .description(computeTargetDescription)
            .displayName(computeTargetDisplayName)
            .freeformTags(Map.of("Department", "Finance"))
            .metadata(computeTargetMetadata)
            .build());

    }
}

resources:
  testComputeTarget:
    type: oci:DataScience:ComputeTarget
    name: test_compute_target
    properties:
      compartmentId: ${compartmentId}
      computeConfigurationDetails:
        computeType: ${computeTargetComputeConfigurationDetailsComputeType}
        instanceConfiguration:
          instanceShape: ${computeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShape}
          bootVolumeSizeInGbs: ${computeTargetComputeConfigurationDetailsInstanceConfigurationBootVolumeSizeInGbs}
          instanceShapeDetails:
            memoryInGbs: ${computeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShapeDetailsMemoryInGbs}
            ocpus: ${computeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShapeDetailsOcpus}
        scalingPolicy:
          policyType: ${computeTargetComputeConfigurationDetailsScalingPolicyPolicyType}
          autoScalingPolicies:
            - autoScalingPolicyType: ${computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesAutoScalingPolicyType}
              initialInstanceCount: ${computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesInitialInstanceCount}
              maximumInstanceCount: ${computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesMaximumInstanceCount}
              minimumInstanceCount: ${computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesMinimumInstanceCount}
              rules:
                - metricExpressionRuleType: ${computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesMetricExpressionRuleType}
                  scaleInConfiguration:
                    instanceCountAdjustment: ${computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleInConfigurationInstanceCountAdjustment}
                    pendingDuration: ${computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleInConfigurationPendingDuration}
                    query: ${computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleInConfigurationQuery}
                    scalingConfigurationType: ${computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleInConfigurationScalingConfigurationType}
                    threshold: ${computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleInConfigurationThreshold}
                  scaleOutConfiguration:
                    instanceCountAdjustment: ${computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleOutConfigurationInstanceCountAdjustment}
                    pendingDuration: ${computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleOutConfigurationPendingDuration}
                    query: ${computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleOutConfigurationQuery}
                    scalingConfigurationType: ${computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleOutConfigurationScalingConfigurationType}
                    threshold: ${computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleOutConfigurationThreshold}
                  metricType: ${computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesMetricType}
          coolDownInSeconds: ${computeTargetComputeConfigurationDetailsScalingPolicyCoolDownInSeconds}
          instanceCount: ${computeTargetComputeConfigurationDetailsScalingPolicyInstanceCount}
          isEnabled: ${computeTargetComputeConfigurationDetailsScalingPolicyIsEnabled}
      definedTags:
        Operations.CostCenter: '42'
      description: ${computeTargetDescription}
      displayName: ${computeTargetDisplayName}
      freeformTags:
        Department: Finance
      metadata: ${computeTargetMetadata}

pulumi {
  required_providers {
    oci = {
      source = "pulumi/oci"
    }
  }
}

resource "oci_datascience_computetarget" "test_compute_target" {
  compartment_id = compartmentId
  compute_configuration_details = {
    compute_type = computeTargetComputeConfigurationDetailsComputeType
    instance_configuration = {
      instance_shape          = computeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShape
      boot_volume_size_in_gbs = computeTargetComputeConfigurationDetailsInstanceConfigurationBootVolumeSizeInGbs
      instance_shape_details = {
        memory_in_gbs = computeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShapeDetailsMemoryInGbs
        ocpus         = computeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShapeDetailsOcpus
      }
    }
    scaling_policy = {
      policy_type = computeTargetComputeConfigurationDetailsScalingPolicyPolicyType
      auto_scaling_policies = [{
        "autoScalingPolicyType" = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesAutoScalingPolicyType
        "initialInstanceCount"  = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesInitialInstanceCount
        "maximumInstanceCount"  = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesMaximumInstanceCount
        "minimumInstanceCount"  = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesMinimumInstanceCount
        "rules" = [{
          "metricExpressionRuleType" = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesMetricExpressionRuleType
          "scaleInConfiguration" = {
            "instanceCountAdjustment"  = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleInConfigurationInstanceCountAdjustment
            "pendingDuration"          = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleInConfigurationPendingDuration
            "query"                    = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleInConfigurationQuery
            "scalingConfigurationType" = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleInConfigurationScalingConfigurationType
            "threshold"                = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleInConfigurationThreshold
          }
          "scaleOutConfiguration" = {
            "instanceCountAdjustment"  = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleOutConfigurationInstanceCountAdjustment
            "pendingDuration"          = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleOutConfigurationPendingDuration
            "query"                    = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleOutConfigurationQuery
            "scalingConfigurationType" = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleOutConfigurationScalingConfigurationType
            "threshold"                = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesScaleOutConfigurationThreshold
          }
          "metricType" = computeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPoliciesRulesMetricType
        }]
      }]
      cool_down_in_seconds = computeTargetComputeConfigurationDetailsScalingPolicyCoolDownInSeconds
      instance_count       = computeTargetComputeConfigurationDetailsScalingPolicyInstanceCount
      is_enabled           = computeTargetComputeConfigurationDetailsScalingPolicyIsEnabled
    }
  }
  #Required
  #Required
  #Optional
  #Optional
  #Required
  #Required
  #Required
  #Optional
  #Optional
  #Optional
  defined_tags = {
    "Operations.CostCenter" = "42"
  }
  description  = computeTargetDescription
  display_name = computeTargetDisplayName
  freeform_tags = {
    "Department" = "Finance"
  }
  metadata = computeTargetMetadata
}

Create ComputeTarget Resource

Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

Constructor syntax

new ComputeTarget(name: string, args: ComputeTargetArgs, opts?: CustomResourceOptions);

@overload
def ComputeTarget(resource_name: str,
                  args: ComputeTargetArgs,
                  opts: Optional[ResourceOptions] = None)

@overload
def ComputeTarget(resource_name: str,
                  opts: Optional[ResourceOptions] = None,
                  compartment_id: Optional[str] = None,
                  compute_configuration_details: Optional[ComputeTargetComputeConfigurationDetailsArgs] = None,
                  defined_tags: Optional[Mapping[str, str]] = None,
                  description: Optional[str] = None,
                  display_name: Optional[str] = None,
                  freeform_tags: Optional[Mapping[str, str]] = None,
                  metadata: Optional[Mapping[str, str]] = None)

func NewComputeTarget(ctx *Context, name string, args ComputeTargetArgs, opts ...ResourceOption) (*ComputeTarget, error)

public ComputeTarget(string name, ComputeTargetArgs args, CustomResourceOptions? opts = null)

public ComputeTarget(String name, ComputeTargetArgs args)
public ComputeTarget(String name, ComputeTargetArgs args, CustomResourceOptions options)

type: oci:DataScience:ComputeTarget
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

resource "oci_datascience_computetarget" "name" {
    # resource properties
}

Parameters

name string: The unique name of the resource.
args ComputeTargetArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

resource_name str: The unique name of the resource.
args ComputeTargetArgs: The arguments to resource properties.
opts ResourceOptions: Bag of options to control resource's behavior.

ctx Context: Context object for the current deployment.
name string: The unique name of the resource.
args ComputeTargetArgs: The arguments to resource properties.
opts ResourceOption: Bag of options to control resource's behavior.

name string: The unique name of the resource.
args ComputeTargetArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

name String: The unique name of the resource.
args ComputeTargetArgs: The arguments to resource properties.
options CustomResourceOptions: Bag of options to control resource's behavior.

Constructor example

The following reference example uses placeholder values for all input properties.

var computeTargetResource = new Oci.DataScience.ComputeTarget("computeTargetResource", new()
{
    CompartmentId = "string",
    ComputeConfigurationDetails = new Oci.DataScience.Inputs.ComputeTargetComputeConfigurationDetailsArgs
    {
        ComputeType = "string",
        InstanceConfiguration = new Oci.DataScience.Inputs.ComputeTargetComputeConfigurationDetailsInstanceConfigurationArgs
        {
            InstanceShape = "string",
            BootVolumeSizeInGbs = 0,
            InstanceShapeDetails = new Oci.DataScience.Inputs.ComputeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShapeDetailsArgs
            {
                MemoryInGbs = 0,
                Ocpus = 0,
            },
        },
        ScalingPolicy = new Oci.DataScience.Inputs.ComputeTargetComputeConfigurationDetailsScalingPolicyArgs
        {
            PolicyType = "string",
            AutoScalingPolicies = new[]
            {
                new Oci.DataScience.Inputs.ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyArgs
                {
                    AutoScalingPolicyType = "string",
                    InitialInstanceCount = 0,
                    MaximumInstanceCount = 0,
                    MinimumInstanceCount = 0,
                    Rules = new[]
                    {
                        new Oci.DataScience.Inputs.ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleArgs
                        {
                            MetricExpressionRuleType = "string",
                            ScaleInConfiguration = new Oci.DataScience.Inputs.ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleInConfigurationArgs
                            {
                                InstanceCountAdjustment = 0,
                                PendingDuration = "string",
                                Query = "string",
                                ScalingConfigurationType = "string",
                                Threshold = 0,
                            },
                            ScaleOutConfiguration = new Oci.DataScience.Inputs.ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleOutConfigurationArgs
                            {
                                InstanceCountAdjustment = 0,
                                PendingDuration = "string",
                                Query = "string",
                                ScalingConfigurationType = "string",
                                Threshold = 0,
                            },
                            MetricType = "string",
                        },
                    },
                },
            },
            CoolDownInSeconds = 0,
            InstanceCount = 0,
            IsEnabled = false,
        },
    },
    DefinedTags = 
    {
        { "string", "string" },
    },
    Description = "string",
    DisplayName = "string",
    FreeformTags = 
    {
        { "string", "string" },
    },
    Metadata = 
    {
        { "string", "string" },
    },
});

example, err := datascience.NewComputeTarget(ctx, "computeTargetResource", &datascience.ComputeTargetArgs{
	CompartmentId: pulumi.String("string"),
	ComputeConfigurationDetails: &datascience.ComputeTargetComputeConfigurationDetailsArgs{
		ComputeType: pulumi.String("string"),
		InstanceConfiguration: &datascience.ComputeTargetComputeConfigurationDetailsInstanceConfigurationArgs{
			InstanceShape:       pulumi.String("string"),
			BootVolumeSizeInGbs: pulumi.Int(0),
			InstanceShapeDetails: &datascience.ComputeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShapeDetailsArgs{
				MemoryInGbs: pulumi.Float64(0),
				Ocpus:       pulumi.Float64(0),
			},
		},
		ScalingPolicy: &datascience.ComputeTargetComputeConfigurationDetailsScalingPolicyArgs{
			PolicyType: pulumi.String("string"),
			AutoScalingPolicies: datascience.ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyArray{
				&datascience.ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyArgs{
					AutoScalingPolicyType: pulumi.String("string"),
					InitialInstanceCount:  pulumi.Int(0),
					MaximumInstanceCount:  pulumi.Int(0),
					MinimumInstanceCount:  pulumi.Int(0),
					Rules: datascience.ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleArray{
						&datascience.ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleArgs{
							MetricExpressionRuleType: pulumi.String("string"),
							ScaleInConfiguration: &datascience.ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleInConfigurationArgs{
								InstanceCountAdjustment:  pulumi.Int(0),
								PendingDuration:          pulumi.String("string"),
								Query:                    pulumi.String("string"),
								ScalingConfigurationType: pulumi.String("string"),
								Threshold:                pulumi.Int(0),
							},
							ScaleOutConfiguration: &datascience.ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleOutConfigurationArgs{
								InstanceCountAdjustment:  pulumi.Int(0),
								PendingDuration:          pulumi.String("string"),
								Query:                    pulumi.String("string"),
								ScalingConfigurationType: pulumi.String("string"),
								Threshold:                pulumi.Int(0),
							},
							MetricType: pulumi.String("string"),
						},
					},
				},
			},
			CoolDownInSeconds: pulumi.Int(0),
			InstanceCount:     pulumi.Int(0),
			IsEnabled:         pulumi.Bool(false),
		},
	},
	DefinedTags: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
	Description: pulumi.String("string"),
	DisplayName: pulumi.String("string"),
	FreeformTags: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
	Metadata: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
})

resource "oci_datascience_computetarget" "computeTargetResource" {
  compartment_id = "string"
  compute_configuration_details = {
    compute_type = "string"
    instance_configuration = {
      instance_shape          = "string"
      boot_volume_size_in_gbs = 0
      instance_shape_details = {
        memory_in_gbs = 0
        ocpus         = 0
      }
    }
    scaling_policy = {
      policy_type = "string"
      auto_scaling_policies = [{
        "autoScalingPolicyType" = "string"
        "initialInstanceCount"  = 0
        "maximumInstanceCount"  = 0
        "minimumInstanceCount"  = 0
        "rules" = [{
          "metricExpressionRuleType" = "string"
          "scaleInConfiguration" = {
            "instanceCountAdjustment"  = 0
            "pendingDuration"          = "string"
            "query"                    = "string"
            "scalingConfigurationType" = "string"
            "threshold"                = 0
          }
          "scaleOutConfiguration" = {
            "instanceCountAdjustment"  = 0
            "pendingDuration"          = "string"
            "query"                    = "string"
            "scalingConfigurationType" = "string"
            "threshold"                = 0
          }
          "metricType" = "string"
        }]
      }]
      cool_down_in_seconds = 0
      instance_count       = 0
      is_enabled           = false
    }
  }
  defined_tags = {
    "string" = "string"
  }
  description  = "string"
  display_name = "string"
  freeform_tags = {
    "string" = "string"
  }
  metadata = {
    "string" = "string"
  }
}

var computeTargetResource = new ComputeTarget("computeTargetResource", ComputeTargetArgs.builder()
    .compartmentId("string")
    .computeConfigurationDetails(ComputeTargetComputeConfigurationDetailsArgs.builder()
        .computeType("string")
        .instanceConfiguration(ComputeTargetComputeConfigurationDetailsInstanceConfigurationArgs.builder()
            .instanceShape("string")
            .bootVolumeSizeInGbs(0)
            .instanceShapeDetails(ComputeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShapeDetailsArgs.builder()
                .memoryInGbs(0.0)
                .ocpus(0.0)
                .build())
            .build())
        .scalingPolicy(ComputeTargetComputeConfigurationDetailsScalingPolicyArgs.builder()
            .policyType("string")
            .autoScalingPolicies(ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyArgs.builder()
                .autoScalingPolicyType("string")
                .initialInstanceCount(0)
                .maximumInstanceCount(0)
                .minimumInstanceCount(0)
                .rules(ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleArgs.builder()
                    .metricExpressionRuleType("string")
                    .scaleInConfiguration(ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleInConfigurationArgs.builder()
                        .instanceCountAdjustment(0)
                        .pendingDuration("string")
                        .query("string")
                        .scalingConfigurationType("string")
                        .threshold(0)
                        .build())
                    .scaleOutConfiguration(ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleOutConfigurationArgs.builder()
                        .instanceCountAdjustment(0)
                        .pendingDuration("string")
                        .query("string")
                        .scalingConfigurationType("string")
                        .threshold(0)
                        .build())
                    .metricType("string")
                    .build())
                .build())
            .coolDownInSeconds(0)
            .instanceCount(0)
            .isEnabled(false)
            .build())
        .build())
    .definedTags(Map.of("string", "string"))
    .description("string")
    .displayName("string")
    .freeformTags(Map.of("string", "string"))
    .metadata(Map.of("string", "string"))
    .build());

compute_target_resource = oci.datascience.ComputeTarget("computeTargetResource",
    compartment_id="string",
    compute_configuration_details={
        "compute_type": "string",
        "instance_configuration": {
            "instance_shape": "string",
            "boot_volume_size_in_gbs": 0,
            "instance_shape_details": {
                "memory_in_gbs": float(0),
                "ocpus": float(0),
            },
        },
        "scaling_policy": {
            "policy_type": "string",
            "auto_scaling_policies": [{
                "auto_scaling_policy_type": "string",
                "initial_instance_count": 0,
                "maximum_instance_count": 0,
                "minimum_instance_count": 0,
                "rules": [{
                    "metric_expression_rule_type": "string",
                    "scale_in_configuration": {
                        "instance_count_adjustment": 0,
                        "pending_duration": "string",
                        "query": "string",
                        "scaling_configuration_type": "string",
                        "threshold": 0,
                    },
                    "scale_out_configuration": {
                        "instance_count_adjustment": 0,
                        "pending_duration": "string",
                        "query": "string",
                        "scaling_configuration_type": "string",
                        "threshold": 0,
                    },
                    "metric_type": "string",
                }],
            }],
            "cool_down_in_seconds": 0,
            "instance_count": 0,
            "is_enabled": False,
        },
    },
    defined_tags={
        "string": "string",
    },
    description="string",
    display_name="string",
    freeform_tags={
        "string": "string",
    },
    metadata={
        "string": "string",
    })

const computeTargetResource = new oci.datascience.ComputeTarget("computeTargetResource", {
    compartmentId: "string",
    computeConfigurationDetails: {
        computeType: "string",
        instanceConfiguration: {
            instanceShape: "string",
            bootVolumeSizeInGbs: 0,
            instanceShapeDetails: {
                memoryInGbs: 0,
                ocpus: 0,
            },
        },
        scalingPolicy: {
            policyType: "string",
            autoScalingPolicies: [{
                autoScalingPolicyType: "string",
                initialInstanceCount: 0,
                maximumInstanceCount: 0,
                minimumInstanceCount: 0,
                rules: [{
                    metricExpressionRuleType: "string",
                    scaleInConfiguration: {
                        instanceCountAdjustment: 0,
                        pendingDuration: "string",
                        query: "string",
                        scalingConfigurationType: "string",
                        threshold: 0,
                    },
                    scaleOutConfiguration: {
                        instanceCountAdjustment: 0,
                        pendingDuration: "string",
                        query: "string",
                        scalingConfigurationType: "string",
                        threshold: 0,
                    },
                    metricType: "string",
                }],
            }],
            coolDownInSeconds: 0,
            instanceCount: 0,
            isEnabled: false,
        },
    },
    definedTags: {
        string: "string",
    },
    description: "string",
    displayName: "string",
    freeformTags: {
        string: "string",
    },
    metadata: {
        string: "string",
    },
});

type: oci:DataScience:ComputeTarget
properties:
    compartmentId: string
    computeConfigurationDetails:
        computeType: string
        instanceConfiguration:
            bootVolumeSizeInGbs: 0
            instanceShape: string
            instanceShapeDetails:
                memoryInGbs: 0
                ocpus: 0
        scalingPolicy:
            autoScalingPolicies:
                - autoScalingPolicyType: string
                  initialInstanceCount: 0
                  maximumInstanceCount: 0
                  minimumInstanceCount: 0
                  rules:
                    - metricExpressionRuleType: string
                      metricType: string
                      scaleInConfiguration:
                        instanceCountAdjustment: 0
                        pendingDuration: string
                        query: string
                        scalingConfigurationType: string
                        threshold: 0
                      scaleOutConfiguration:
                        instanceCountAdjustment: 0
                        pendingDuration: string
                        query: string
                        scalingConfigurationType: string
                        threshold: 0
            coolDownInSeconds: 0
            instanceCount: 0
            isEnabled: false
            policyType: string
    definedTags:
        string: string
    description: string
    displayName: string
    freeformTags:
        string: string
    metadata:
        string: string

ComputeTarget Resource Properties

To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

Inputs

In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

The ComputeTarget resource accepts the following input properties:

CompartmentId string

(Updatable) The OCID of the compartment where you want to create the compute target.

ComputeConfigurationDetails ComputeTargetComputeConfigurationDetails

(Updatable) Configuration details of the targeted compute.

DefinedTags Dictionary<string, string>

(Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}

Description string

(Updatable) A short description of the compute target.

DisplayName string

(Updatable) A user-friendly display name for the resource.

FreeformTags Dictionary<string, string>

(Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example: {"Department": "Finance"}

Metadata Dictionary<string, string>

(Updatable) Metadata for the compute target. The size of metadata must be less than 2048 bytes. Key should be under 32 characters. Key should contain only letters, digits and underscore (_) Key should start with a letter. Key should have at least 2 characters. Key should not end with underscore eg. TEST_ Key if added cannot be empty. Value can be empty. No specific size limits on individual Values. But overall metadata is limited to 2048 bytes. Key can't be reserved Compute Target metadata.

** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

CompartmentId string

(Updatable) The OCID of the compartment where you want to create the compute target.

ComputeConfigurationDetails ComputeTargetComputeConfigurationDetailsArgs

(Updatable) Configuration details of the targeted compute.

DefinedTags map[string]string

(Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}

Description string

(Updatable) A short description of the compute target.

DisplayName string

(Updatable) A user-friendly display name for the resource.

FreeformTags map[string]string

(Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example: {"Department": "Finance"}

Metadata map[string]string

** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

compartment_id string

(Updatable) The OCID of the compartment where you want to create the compute target.

compute_configuration_details object

(Updatable) Configuration details of the targeted compute.

defined_tags map(string)

(Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}

description string

(Updatable) A short description of the compute target.

display_name string

(Updatable) A user-friendly display name for the resource.

freeform_tags map(string)

(Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example: {"Department": "Finance"}

metadata map(string)

** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

compartmentId String

(Updatable) The OCID of the compartment where you want to create the compute target.

computeConfigurationDetails ComputeTargetComputeConfigurationDetails

(Updatable) Configuration details of the targeted compute.

definedTags Map<String,String>

(Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}

description String

(Updatable) A short description of the compute target.

displayName String

(Updatable) A user-friendly display name for the resource.

freeformTags Map<String,String>

(Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example: {"Department": "Finance"}

metadata Map<String,String>

** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

compartmentId string

(Updatable) The OCID of the compartment where you want to create the compute target.

computeConfigurationDetails ComputeTargetComputeConfigurationDetails

(Updatable) Configuration details of the targeted compute.

definedTags {[key: string]: string}

(Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}

description string

(Updatable) A short description of the compute target.

displayName string

(Updatable) A user-friendly display name for the resource.

freeformTags {[key: string]: string}

(Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example: {"Department": "Finance"}

metadata {[key: string]: string}

** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

compartment_id str

(Updatable) The OCID of the compartment where you want to create the compute target.

compute_configuration_details ComputeTargetComputeConfigurationDetailsArgs

(Updatable) Configuration details of the targeted compute.

defined_tags Mapping[str, str]

(Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}

description str

(Updatable) A short description of the compute target.

display_name str

(Updatable) A user-friendly display name for the resource.

freeform_tags Mapping[str, str]

(Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example: {"Department": "Finance"}

metadata Mapping[str, str]

** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

compartmentId String

(Updatable) The OCID of the compartment where you want to create the compute target.

computeConfigurationDetails Property Map

(Updatable) Configuration details of the targeted compute.

definedTags Map<String>

(Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}

description String

(Updatable) A short description of the compute target.

displayName String

(Updatable) A user-friendly display name for the resource.

freeformTags Map<String>

(Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example: {"Department": "Finance"}

metadata Map<String>

** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

Outputs

All input properties are implicitly available as output properties. Additionally, the ComputeTarget resource produces the following output properties:

ComputeTargetSystemDatas List<ComputeTargetComputeTargetSystemData>: System data of the compute target.
CreatedBy string: The OCID of the user who created the compute target.
Id string: The provider-assigned unique ID for this managed resource.
LifecycleDetails string: Details about the state of the compute target.
State string: The state of the compute target.
TimeCreated string: The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2020-08-06T21:10:29.41Z

ComputeTargetSystemDatas []ComputeTargetComputeTargetSystemData: System data of the compute target.
CreatedBy string: The OCID of the user who created the compute target.
Id string: The provider-assigned unique ID for this managed resource.
LifecycleDetails string: Details about the state of the compute target.
State string: The state of the compute target.
TimeCreated string: The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2020-08-06T21:10:29.41Z

compute_target_system_datas list(object): System data of the compute target.
created_by string: The OCID of the user who created the compute target.
id string: The provider-assigned unique ID for this managed resource.
lifecycle_details string: Details about the state of the compute target.
state string: The state of the compute target.
time_created string: The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2020-08-06T21:10:29.41Z

computeTargetSystemDatas List<ComputeTargetComputeTargetSystemData>: System data of the compute target.
createdBy String: The OCID of the user who created the compute target.
id String: The provider-assigned unique ID for this managed resource.
lifecycleDetails String: Details about the state of the compute target.
state String: The state of the compute target.
timeCreated String: The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2020-08-06T21:10:29.41Z

computeTargetSystemDatas ComputeTargetComputeTargetSystemData[]: System data of the compute target.
createdBy string: The OCID of the user who created the compute target.
id string: The provider-assigned unique ID for this managed resource.
lifecycleDetails string: Details about the state of the compute target.
state string: The state of the compute target.
timeCreated string: The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2020-08-06T21:10:29.41Z

compute_target_system_datas Sequence[ComputeTargetComputeTargetSystemData]: System data of the compute target.
created_by str: The OCID of the user who created the compute target.
id str: The provider-assigned unique ID for this managed resource.
lifecycle_details str: Details about the state of the compute target.
state str: The state of the compute target.
time_created str: The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2020-08-06T21:10:29.41Z

computeTargetSystemDatas List<Property Map>: System data of the compute target.
createdBy String: The OCID of the user who created the compute target.
id String: The provider-assigned unique ID for this managed resource.
lifecycleDetails String: Details about the state of the compute target.
state String: The state of the compute target.
timeCreated String: The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2020-08-06T21:10:29.41Z

Look up Existing ComputeTarget Resource

Get an existing ComputeTarget resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.

public static get(name: string, id: Input<ID>, state?: ComputeTargetState, opts?: CustomResourceOptions): ComputeTarget

@staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        compartment_id: Optional[str] = None,
        compute_configuration_details: Optional[ComputeTargetComputeConfigurationDetailsArgs] = None,
        compute_target_system_datas: Optional[Sequence[ComputeTargetComputeTargetSystemDataArgs]] = None,
        created_by: Optional[str] = None,
        defined_tags: Optional[Mapping[str, str]] = None,
        description: Optional[str] = None,
        display_name: Optional[str] = None,
        freeform_tags: Optional[Mapping[str, str]] = None,
        lifecycle_details: Optional[str] = None,
        metadata: Optional[Mapping[str, str]] = None,
        state: Optional[str] = None,
        time_created: Optional[str] = None) -> ComputeTarget

func GetComputeTarget(ctx *Context, name string, id IDInput, state *ComputeTargetState, opts ...ResourceOption) (*ComputeTarget, error)

public static ComputeTarget Get(string name, Input<string> id, ComputeTargetState? state, CustomResourceOptions? opts = null)

public static ComputeTarget get(String name, Output<String> id, ComputeTargetState state, CustomResourceOptions options)

resources:  _:    type: oci:DataScience:ComputeTarget    get:      id: ${id}

import {
  to = oci_datascience_computetarget.example
  id = "${id}"
}

name: The unique name of the resulting resource.
id: The unique provider ID of the resource to lookup.
state: Any extra arguments used during the lookup.
opts: A bag of options that control this resource's behavior.

resource_name: The unique name of the resulting resource.
id: The unique provider ID of the resource to lookup.

name: The unique name of the resulting resource.
id: The unique provider ID of the resource to lookup.
state: Any extra arguments used during the lookup.
opts: A bag of options that control this resource's behavior.

name: The unique name of the resulting resource.
id: The unique provider ID of the resource to lookup.
state: Any extra arguments used during the lookup.
opts: A bag of options that control this resource's behavior.

name: The unique name of the resulting resource.
id: The unique provider ID of the resource to lookup.
state: Any extra arguments used during the lookup.
opts: A bag of options that control this resource's behavior.

The following state arguments are supported:

CompartmentId string

(Updatable) The OCID of the compartment where you want to create the compute target.

ComputeConfigurationDetails ComputeTargetComputeConfigurationDetails

(Updatable) Configuration details of the targeted compute.

ComputeTargetSystemDatas List<ComputeTargetComputeTargetSystemData>

System data of the compute target.

CreatedBy string

The OCID of the user who created the compute target.

DefinedTags Dictionary<string, string>

(Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}

Description string

(Updatable) A short description of the compute target.

DisplayName string

(Updatable) A user-friendly display name for the resource.

FreeformTags Dictionary<string, string>

(Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example: {"Department": "Finance"}

LifecycleDetails string

Details about the state of the compute target.

Metadata Dictionary<string, string>

** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

State string

The state of the compute target.

TimeCreated string

The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2020-08-06T21:10:29.41Z

CompartmentId string

(Updatable) The OCID of the compartment where you want to create the compute target.

ComputeConfigurationDetails ComputeTargetComputeConfigurationDetailsArgs

(Updatable) Configuration details of the targeted compute.

ComputeTargetSystemDatas []ComputeTargetComputeTargetSystemDataArgs

System data of the compute target.

CreatedBy string

The OCID of the user who created the compute target.

DefinedTags map[string]string

(Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}

Description string

(Updatable) A short description of the compute target.

DisplayName string

(Updatable) A user-friendly display name for the resource.

FreeformTags map[string]string

(Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example: {"Department": "Finance"}

LifecycleDetails string

Details about the state of the compute target.

Metadata map[string]string

** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

State string

The state of the compute target.

TimeCreated string

The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2020-08-06T21:10:29.41Z

compartment_id string

(Updatable) The OCID of the compartment where you want to create the compute target.

compute_configuration_details object

(Updatable) Configuration details of the targeted compute.

compute_target_system_datas list(object)

System data of the compute target.

created_by string

The OCID of the user who created the compute target.

defined_tags map(string)

(Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}

description string

(Updatable) A short description of the compute target.

display_name string

(Updatable) A user-friendly display name for the resource.

freeform_tags map(string)

(Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example: {"Department": "Finance"}

lifecycle_details string

Details about the state of the compute target.

metadata map(string)

** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

state string

The state of the compute target.

time_created string

The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2020-08-06T21:10:29.41Z

compartmentId String

(Updatable) The OCID of the compartment where you want to create the compute target.

computeConfigurationDetails ComputeTargetComputeConfigurationDetails

(Updatable) Configuration details of the targeted compute.

computeTargetSystemDatas List<ComputeTargetComputeTargetSystemData>

System data of the compute target.

createdBy String

The OCID of the user who created the compute target.

definedTags Map<String,String>

(Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}

description String

(Updatable) A short description of the compute target.

displayName String

(Updatable) A user-friendly display name for the resource.

freeformTags Map<String,String>

(Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example: {"Department": "Finance"}

lifecycleDetails String

Details about the state of the compute target.

metadata Map<String,String>

** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

state String

The state of the compute target.

timeCreated String

The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2020-08-06T21:10:29.41Z

compartmentId string

(Updatable) The OCID of the compartment where you want to create the compute target.

computeConfigurationDetails ComputeTargetComputeConfigurationDetails

(Updatable) Configuration details of the targeted compute.

computeTargetSystemDatas ComputeTargetComputeTargetSystemData[]

System data of the compute target.

createdBy string

The OCID of the user who created the compute target.

definedTags {[key: string]: string}

(Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}

description string

(Updatable) A short description of the compute target.

displayName string

(Updatable) A user-friendly display name for the resource.

freeformTags {[key: string]: string}

(Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example: {"Department": "Finance"}

lifecycleDetails string

Details about the state of the compute target.

metadata {[key: string]: string}

** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

state string

The state of the compute target.

timeCreated string

The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2020-08-06T21:10:29.41Z

compartment_id str

(Updatable) The OCID of the compartment where you want to create the compute target.

compute_configuration_details ComputeTargetComputeConfigurationDetailsArgs

(Updatable) Configuration details of the targeted compute.

compute_target_system_datas Sequence[ComputeTargetComputeTargetSystemDataArgs]

System data of the compute target.

created_by str

The OCID of the user who created the compute target.

defined_tags Mapping[str, str]

(Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}

description str

(Updatable) A short description of the compute target.

display_name str

(Updatable) A user-friendly display name for the resource.

freeform_tags Mapping[str, str]

(Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example: {"Department": "Finance"}

lifecycle_details str

Details about the state of the compute target.

metadata Mapping[str, str]

** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

state str

The state of the compute target.

time_created str

The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2020-08-06T21:10:29.41Z

compartmentId String

(Updatable) The OCID of the compartment where you want to create the compute target.

computeConfigurationDetails Property Map

(Updatable) Configuration details of the targeted compute.

computeTargetSystemDatas List<Property Map>

System data of the compute target.

createdBy String

The OCID of the user who created the compute target.

definedTags Map<String>

(Updatable) Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}

description String

(Updatable) A short description of the compute target.

displayName String

(Updatable) A user-friendly display name for the resource.

freeformTags Map<String>

(Updatable) Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example: {"Department": "Finance"}

lifecycleDetails String

Details about the state of the compute target.

metadata Map<String>

** IMPORTANT ** Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

state String

The state of the compute target.

timeCreated String

The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2020-08-06T21:10:29.41Z

Supporting Types

ComputeTargetComputeConfigurationDetails, ComputeTargetComputeConfigurationDetailsArgs

ComputeType string: (Updatable) The type of compute.
InstanceConfiguration ComputeTargetComputeConfigurationDetailsInstanceConfiguration: (Updatable) The compute target instance configuration details for managed compute cluster type compute target.
ScalingPolicy ComputeTargetComputeConfigurationDetailsScalingPolicy: (Updatable) The scaling policy to apply to managed compute cluster type compute target.

ComputeType string: (Updatable) The type of compute.
InstanceConfiguration ComputeTargetComputeConfigurationDetailsInstanceConfiguration: (Updatable) The compute target instance configuration details for managed compute cluster type compute target.
ScalingPolicy ComputeTargetComputeConfigurationDetailsScalingPolicy: (Updatable) The scaling policy to apply to managed compute cluster type compute target.

compute_type string: (Updatable) The type of compute.
instance_configuration object: (Updatable) The compute target instance configuration details for managed compute cluster type compute target.
scaling_policy object: (Updatable) The scaling policy to apply to managed compute cluster type compute target.

computeType String: (Updatable) The type of compute.
instanceConfiguration ComputeTargetComputeConfigurationDetailsInstanceConfiguration: (Updatable) The compute target instance configuration details for managed compute cluster type compute target.
scalingPolicy ComputeTargetComputeConfigurationDetailsScalingPolicy: (Updatable) The scaling policy to apply to managed compute cluster type compute target.

computeType string: (Updatable) The type of compute.
instanceConfiguration ComputeTargetComputeConfigurationDetailsInstanceConfiguration: (Updatable) The compute target instance configuration details for managed compute cluster type compute target.
scalingPolicy ComputeTargetComputeConfigurationDetailsScalingPolicy: (Updatable) The scaling policy to apply to managed compute cluster type compute target.

compute_type str: (Updatable) The type of compute.
instance_configuration ComputeTargetComputeConfigurationDetailsInstanceConfiguration: (Updatable) The compute target instance configuration details for managed compute cluster type compute target.
scaling_policy ComputeTargetComputeConfigurationDetailsScalingPolicy: (Updatable) The scaling policy to apply to managed compute cluster type compute target.

computeType String: (Updatable) The type of compute.
instanceConfiguration Property Map: (Updatable) The compute target instance configuration details for managed compute cluster type compute target.
scalingPolicy Property Map: (Updatable) The scaling policy to apply to managed compute cluster type compute target.

ComputeTargetComputeConfigurationDetailsInstanceConfiguration, ComputeTargetComputeConfigurationDetailsInstanceConfigurationArgs

InstanceShape string: (Updatable) The shape used to launch the instances in compute target. Supported shapes can be retrieved using compute target shapes api.
BootVolumeSizeInGbs int: (Updatable) The size of the boot volume to attach to the instance.
InstanceShapeDetails ComputeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShapeDetails: (Updatable) Instance shape configuration for managed compute cluster type compute target. Specify only when a flex shape is selected.

InstanceShape string: (Updatable) The shape used to launch the instances in compute target. Supported shapes can be retrieved using compute target shapes api.
BootVolumeSizeInGbs int: (Updatable) The size of the boot volume to attach to the instance.
InstanceShapeDetails ComputeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShapeDetails: (Updatable) Instance shape configuration for managed compute cluster type compute target. Specify only when a flex shape is selected.

instance_shape string: (Updatable) The shape used to launch the instances in compute target. Supported shapes can be retrieved using compute target shapes api.
boot_volume_size_in_gbs number: (Updatable) The size of the boot volume to attach to the instance.
instance_shape_details object: (Updatable) Instance shape configuration for managed compute cluster type compute target. Specify only when a flex shape is selected.

instanceShape String: (Updatable) The shape used to launch the instances in compute target. Supported shapes can be retrieved using compute target shapes api.
bootVolumeSizeInGbs Integer: (Updatable) The size of the boot volume to attach to the instance.
instanceShapeDetails ComputeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShapeDetails: (Updatable) Instance shape configuration for managed compute cluster type compute target. Specify only when a flex shape is selected.

instanceShape string: (Updatable) The shape used to launch the instances in compute target. Supported shapes can be retrieved using compute target shapes api.
bootVolumeSizeInGbs number: (Updatable) The size of the boot volume to attach to the instance.
instanceShapeDetails ComputeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShapeDetails: (Updatable) Instance shape configuration for managed compute cluster type compute target. Specify only when a flex shape is selected.

instance_shape str: (Updatable) The shape used to launch the instances in compute target. Supported shapes can be retrieved using compute target shapes api.
boot_volume_size_in_gbs int: (Updatable) The size of the boot volume to attach to the instance.
instance_shape_details ComputeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShapeDetails: (Updatable) Instance shape configuration for managed compute cluster type compute target. Specify only when a flex shape is selected.

instanceShape String: (Updatable) The shape used to launch the instances in compute target. Supported shapes can be retrieved using compute target shapes api.
bootVolumeSizeInGbs Number: (Updatable) The size of the boot volume to attach to the instance.
instanceShapeDetails Property Map: (Updatable) Instance shape configuration for managed compute cluster type compute target. Specify only when a flex shape is selected.

ComputeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShapeDetails, ComputeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShapeDetailsArgs

MemoryInGbs double: (Updatable) The total amount of memory allocated to the instance, in gigabytes.
Ocpus double: (Updatable) The total number of OCPUs allocated to the instance.

MemoryInGbs float64: (Updatable) The total amount of memory allocated to the instance, in gigabytes.
Ocpus float64: (Updatable) The total number of OCPUs allocated to the instance.

memory_in_gbs number: (Updatable) The total amount of memory allocated to the instance, in gigabytes.
ocpus number: (Updatable) The total number of OCPUs allocated to the instance.

memoryInGbs Double: (Updatable) The total amount of memory allocated to the instance, in gigabytes.
ocpus Double: (Updatable) The total number of OCPUs allocated to the instance.

memoryInGbs number: (Updatable) The total amount of memory allocated to the instance, in gigabytes.
ocpus number: (Updatable) The total number of OCPUs allocated to the instance.

memory_in_gbs float: (Updatable) The total amount of memory allocated to the instance, in gigabytes.
ocpus float: (Updatable) The total number of OCPUs allocated to the instance.

memoryInGbs Number: (Updatable) The total amount of memory allocated to the instance, in gigabytes.
ocpus Number: (Updatable) The total number of OCPUs allocated to the instance.

ComputeTargetComputeConfigurationDetailsScalingPolicy, ComputeTargetComputeConfigurationDetailsScalingPolicyArgs

PolicyType string: (Updatable) The type of scaling policy.
AutoScalingPolicies List<ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicy>: (Updatable) The list of autoscaling policy details.
CoolDownInSeconds int: (Updatable) For threshold-based autoscaling policies, this value is the minimum period of time to wait between scaling actions. The cooldown period gives the system time to stabilize before rescaling. The minimum value is 300 seconds, which is also the default. The cooldown period starts when the managed compute cluster type compute target becomes ACTIVE after the scaling operation.
InstanceCount int: (Updatable) The number of instances for the managed compute cluster type compute target.
IsEnabled bool: (Updatable) Whether the autoscaling policy is enabled.

PolicyType string: (Updatable) The type of scaling policy.
AutoScalingPolicies []ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicy: (Updatable) The list of autoscaling policy details.
CoolDownInSeconds int: (Updatable) For threshold-based autoscaling policies, this value is the minimum period of time to wait between scaling actions. The cooldown period gives the system time to stabilize before rescaling. The minimum value is 300 seconds, which is also the default. The cooldown period starts when the managed compute cluster type compute target becomes ACTIVE after the scaling operation.
InstanceCount int: (Updatable) The number of instances for the managed compute cluster type compute target.
IsEnabled bool: (Updatable) Whether the autoscaling policy is enabled.

policy_type string: (Updatable) The type of scaling policy.
auto_scaling_policies list(object): (Updatable) The list of autoscaling policy details.
cool_down_in_seconds number: (Updatable) For threshold-based autoscaling policies, this value is the minimum period of time to wait between scaling actions. The cooldown period gives the system time to stabilize before rescaling. The minimum value is 300 seconds, which is also the default. The cooldown period starts when the managed compute cluster type compute target becomes ACTIVE after the scaling operation.
instance_count number: (Updatable) The number of instances for the managed compute cluster type compute target.
is_enabled bool: (Updatable) Whether the autoscaling policy is enabled.

policyType String: (Updatable) The type of scaling policy.
autoScalingPolicies List<ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicy>: (Updatable) The list of autoscaling policy details.
coolDownInSeconds Integer: (Updatable) For threshold-based autoscaling policies, this value is the minimum period of time to wait between scaling actions. The cooldown period gives the system time to stabilize before rescaling. The minimum value is 300 seconds, which is also the default. The cooldown period starts when the managed compute cluster type compute target becomes ACTIVE after the scaling operation.
instanceCount Integer: (Updatable) The number of instances for the managed compute cluster type compute target.
isEnabled Boolean: (Updatable) Whether the autoscaling policy is enabled.

policyType string: (Updatable) The type of scaling policy.
autoScalingPolicies ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicy[]: (Updatable) The list of autoscaling policy details.
coolDownInSeconds number: (Updatable) For threshold-based autoscaling policies, this value is the minimum period of time to wait between scaling actions. The cooldown period gives the system time to stabilize before rescaling. The minimum value is 300 seconds, which is also the default. The cooldown period starts when the managed compute cluster type compute target becomes ACTIVE after the scaling operation.
instanceCount number: (Updatable) The number of instances for the managed compute cluster type compute target.
isEnabled boolean: (Updatable) Whether the autoscaling policy is enabled.

policy_type str: (Updatable) The type of scaling policy.
auto_scaling_policies Sequence[ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicy]: (Updatable) The list of autoscaling policy details.
cool_down_in_seconds int: (Updatable) For threshold-based autoscaling policies, this value is the minimum period of time to wait between scaling actions. The cooldown period gives the system time to stabilize before rescaling. The minimum value is 300 seconds, which is also the default. The cooldown period starts when the managed compute cluster type compute target becomes ACTIVE after the scaling operation.
instance_count int: (Updatable) The number of instances for the managed compute cluster type compute target.
is_enabled bool: (Updatable) Whether the autoscaling policy is enabled.

policyType String: (Updatable) The type of scaling policy.
autoScalingPolicies List<Property Map>: (Updatable) The list of autoscaling policy details.
coolDownInSeconds Number: (Updatable) For threshold-based autoscaling policies, this value is the minimum period of time to wait between scaling actions. The cooldown period gives the system time to stabilize before rescaling. The minimum value is 300 seconds, which is also the default. The cooldown period starts when the managed compute cluster type compute target becomes ACTIVE after the scaling operation.
instanceCount Number: (Updatable) The number of instances for the managed compute cluster type compute target.
isEnabled Boolean: (Updatable) Whether the autoscaling policy is enabled.

ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicy, ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyArgs

AutoScalingPolicyType string: (Updatable) The type of autoscaling policy.
InitialInstanceCount int: (Updatable) For a threshold-based autoscaling policy, this value is the initial number of instances to launch in the managed compute cluster type compute target immediately after autoscaling is enabled. Note that anytime this value is updated, the number of instances will be reset to this value. After autoscaling retrieves performance metrics, the number of instances is automatically adjusted from this initial number to a number that is based on the limits that you set.
MaximumInstanceCount int: (Updatable) For a threshold-based autoscaling policy, this value is the maximum number of instances the managed compute cluster type compute target is allowed to increase to (scale out).
MinimumInstanceCount int: (Updatable) For a threshold-based autoscaling policy, this value is the minimum number of instances the managed compute cluster type compute target is allowed to decrease to (scale in).
Rules List<ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRule>: (Updatable) The list of autoscaling policy rules.

AutoScalingPolicyType string: (Updatable) The type of autoscaling policy.
InitialInstanceCount int: (Updatable) For a threshold-based autoscaling policy, this value is the initial number of instances to launch in the managed compute cluster type compute target immediately after autoscaling is enabled. Note that anytime this value is updated, the number of instances will be reset to this value. After autoscaling retrieves performance metrics, the number of instances is automatically adjusted from this initial number to a number that is based on the limits that you set.
MaximumInstanceCount int: (Updatable) For a threshold-based autoscaling policy, this value is the maximum number of instances the managed compute cluster type compute target is allowed to increase to (scale out).
MinimumInstanceCount int: (Updatable) For a threshold-based autoscaling policy, this value is the minimum number of instances the managed compute cluster type compute target is allowed to decrease to (scale in).
Rules []ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRule: (Updatable) The list of autoscaling policy rules.

auto_scaling_policy_type string: (Updatable) The type of autoscaling policy.
initial_instance_count number: (Updatable) For a threshold-based autoscaling policy, this value is the initial number of instances to launch in the managed compute cluster type compute target immediately after autoscaling is enabled. Note that anytime this value is updated, the number of instances will be reset to this value. After autoscaling retrieves performance metrics, the number of instances is automatically adjusted from this initial number to a number that is based on the limits that you set.
maximum_instance_count number: (Updatable) For a threshold-based autoscaling policy, this value is the maximum number of instances the managed compute cluster type compute target is allowed to increase to (scale out).
minimum_instance_count number: (Updatable) For a threshold-based autoscaling policy, this value is the minimum number of instances the managed compute cluster type compute target is allowed to decrease to (scale in).
rules list(object): (Updatable) The list of autoscaling policy rules.

autoScalingPolicyType String: (Updatable) The type of autoscaling policy.
initialInstanceCount Integer: (Updatable) For a threshold-based autoscaling policy, this value is the initial number of instances to launch in the managed compute cluster type compute target immediately after autoscaling is enabled. Note that anytime this value is updated, the number of instances will be reset to this value. After autoscaling retrieves performance metrics, the number of instances is automatically adjusted from this initial number to a number that is based on the limits that you set.
maximumInstanceCount Integer: (Updatable) For a threshold-based autoscaling policy, this value is the maximum number of instances the managed compute cluster type compute target is allowed to increase to (scale out).
minimumInstanceCount Integer: (Updatable) For a threshold-based autoscaling policy, this value is the minimum number of instances the managed compute cluster type compute target is allowed to decrease to (scale in).
rules List<ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRule>: (Updatable) The list of autoscaling policy rules.

autoScalingPolicyType string: (Updatable) The type of autoscaling policy.
initialInstanceCount number: (Updatable) For a threshold-based autoscaling policy, this value is the initial number of instances to launch in the managed compute cluster type compute target immediately after autoscaling is enabled. Note that anytime this value is updated, the number of instances will be reset to this value. After autoscaling retrieves performance metrics, the number of instances is automatically adjusted from this initial number to a number that is based on the limits that you set.
maximumInstanceCount number: (Updatable) For a threshold-based autoscaling policy, this value is the maximum number of instances the managed compute cluster type compute target is allowed to increase to (scale out).
minimumInstanceCount number: (Updatable) For a threshold-based autoscaling policy, this value is the minimum number of instances the managed compute cluster type compute target is allowed to decrease to (scale in).
rules ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRule[]: (Updatable) The list of autoscaling policy rules.

auto_scaling_policy_type str: (Updatable) The type of autoscaling policy.
initial_instance_count int: (Updatable) For a threshold-based autoscaling policy, this value is the initial number of instances to launch in the managed compute cluster type compute target immediately after autoscaling is enabled. Note that anytime this value is updated, the number of instances will be reset to this value. After autoscaling retrieves performance metrics, the number of instances is automatically adjusted from this initial number to a number that is based on the limits that you set.
maximum_instance_count int: (Updatable) For a threshold-based autoscaling policy, this value is the maximum number of instances the managed compute cluster type compute target is allowed to increase to (scale out).
minimum_instance_count int: (Updatable) For a threshold-based autoscaling policy, this value is the minimum number of instances the managed compute cluster type compute target is allowed to decrease to (scale in).
rules Sequence[ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRule]: (Updatable) The list of autoscaling policy rules.

autoScalingPolicyType String: (Updatable) The type of autoscaling policy.
initialInstanceCount Number: (Updatable) For a threshold-based autoscaling policy, this value is the initial number of instances to launch in the managed compute cluster type compute target immediately after autoscaling is enabled. Note that anytime this value is updated, the number of instances will be reset to this value. After autoscaling retrieves performance metrics, the number of instances is automatically adjusted from this initial number to a number that is based on the limits that you set.
maximumInstanceCount Number: (Updatable) For a threshold-based autoscaling policy, this value is the maximum number of instances the managed compute cluster type compute target is allowed to increase to (scale out).
minimumInstanceCount Number: (Updatable) For a threshold-based autoscaling policy, this value is the minimum number of instances the managed compute cluster type compute target is allowed to decrease to (scale in).
rules List<Property Map>: (Updatable) The list of autoscaling policy rules.

ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRule, ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleArgs

MetricExpressionRuleType string: (Updatable) The metric expression for creating the alarm used to trigger autoscaling actions on the managed compute cluster type compute target .
ScaleInConfiguration ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleInConfiguration: (Updatable) The scaling configuration for the predefined metric expression rule.
ScaleOutConfiguration ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleOutConfiguration: (Updatable) The scaling configuration for the predefined metric expression rule.
MetricType string: (Updatable) Metric type

MetricExpressionRuleType string: (Updatable) The metric expression for creating the alarm used to trigger autoscaling actions on the managed compute cluster type compute target .
ScaleInConfiguration ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleInConfiguration: (Updatable) The scaling configuration for the predefined metric expression rule.
ScaleOutConfiguration ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleOutConfiguration: (Updatable) The scaling configuration for the predefined metric expression rule.
MetricType string: (Updatable) Metric type

metric_expression_rule_type string: (Updatable) The metric expression for creating the alarm used to trigger autoscaling actions on the managed compute cluster type compute target .
scale_in_configuration object: (Updatable) The scaling configuration for the predefined metric expression rule.
scale_out_configuration object: (Updatable) The scaling configuration for the predefined metric expression rule.
metric_type string: (Updatable) Metric type

metricExpressionRuleType String: (Updatable) The metric expression for creating the alarm used to trigger autoscaling actions on the managed compute cluster type compute target .
scaleInConfiguration ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleInConfiguration: (Updatable) The scaling configuration for the predefined metric expression rule.
scaleOutConfiguration ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleOutConfiguration: (Updatable) The scaling configuration for the predefined metric expression rule.
metricType String: (Updatable) Metric type

metricExpressionRuleType string: (Updatable) The metric expression for creating the alarm used to trigger autoscaling actions on the managed compute cluster type compute target .
scaleInConfiguration ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleInConfiguration: (Updatable) The scaling configuration for the predefined metric expression rule.
scaleOutConfiguration ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleOutConfiguration: (Updatable) The scaling configuration for the predefined metric expression rule.
metricType string: (Updatable) Metric type

metric_expression_rule_type str: (Updatable) The metric expression for creating the alarm used to trigger autoscaling actions on the managed compute cluster type compute target .
scale_in_configuration ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleInConfiguration: (Updatable) The scaling configuration for the predefined metric expression rule.
scale_out_configuration ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleOutConfiguration: (Updatable) The scaling configuration for the predefined metric expression rule.
metric_type str: (Updatable) Metric type

metricExpressionRuleType String: (Updatable) The metric expression for creating the alarm used to trigger autoscaling actions on the managed compute cluster type compute target .
scaleInConfiguration Property Map: (Updatable) The scaling configuration for the predefined metric expression rule.
scaleOutConfiguration Property Map: (Updatable) The scaling configuration for the predefined metric expression rule.
metricType String: (Updatable) Metric type

ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleInConfiguration, ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleInConfigurationArgs

InstanceCountAdjustment int: (Updatable) The value is used for adjusting the count of instances by.
PendingDuration string: (Updatable) The period of time that the condition defined in the alarm must persist before the alarm state changes from "OK" to "FIRING" or vice versa. For example, a value of 5 minutes means that the alarm must persist in breaching the condition for five minutes before the alarm updates its state to "FIRING"; likewise, the alarm must persist in not breaching the condition for five minutes before the alarm updates its state to "OK." The duration is specified as a string in ISO 8601 format (PT10M for ten minutes or PT1H for one hour). Minimum: PT3M. Maximum: PT1H. Default: PT3M.
Query string: (Updatable) The Monitoring Query Language (MQL) expression to evaluate for the alarm. The Alarms feature of the Monitoring service interprets results for each returned time series as Boolean values, where zero represents false and a non-zero value represents true. A true value means that the trigger rule condition has been met. The query must specify a metric, statistic, interval, and trigger rule (threshold or absence). Supported values for interval: 1m-60m (also 1h). You can optionally specify dimensions and grouping functions. Supported grouping functions: grouping(), groupBy(). Example of threshold alarm: CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() < 25 CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() > 75
ScalingConfigurationType string: (Updatable) The type of scaling configuration.
Threshold int: (Updatable) A metric value at which the scaling operation will be triggered.

InstanceCountAdjustment int: (Updatable) The value is used for adjusting the count of instances by.
PendingDuration string: (Updatable) The period of time that the condition defined in the alarm must persist before the alarm state changes from "OK" to "FIRING" or vice versa. For example, a value of 5 minutes means that the alarm must persist in breaching the condition for five minutes before the alarm updates its state to "FIRING"; likewise, the alarm must persist in not breaching the condition for five minutes before the alarm updates its state to "OK." The duration is specified as a string in ISO 8601 format (PT10M for ten minutes or PT1H for one hour). Minimum: PT3M. Maximum: PT1H. Default: PT3M.
Query string: (Updatable) The Monitoring Query Language (MQL) expression to evaluate for the alarm. The Alarms feature of the Monitoring service interprets results for each returned time series as Boolean values, where zero represents false and a non-zero value represents true. A true value means that the trigger rule condition has been met. The query must specify a metric, statistic, interval, and trigger rule (threshold or absence). Supported values for interval: 1m-60m (also 1h). You can optionally specify dimensions and grouping functions. Supported grouping functions: grouping(), groupBy(). Example of threshold alarm: CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() < 25 CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() > 75
ScalingConfigurationType string: (Updatable) The type of scaling configuration.
Threshold int: (Updatable) A metric value at which the scaling operation will be triggered.

instance_count_adjustment number: (Updatable) The value is used for adjusting the count of instances by.
pending_duration string: (Updatable) The period of time that the condition defined in the alarm must persist before the alarm state changes from "OK" to "FIRING" or vice versa. For example, a value of 5 minutes means that the alarm must persist in breaching the condition for five minutes before the alarm updates its state to "FIRING"; likewise, the alarm must persist in not breaching the condition for five minutes before the alarm updates its state to "OK." The duration is specified as a string in ISO 8601 format (PT10M for ten minutes or PT1H for one hour). Minimum: PT3M. Maximum: PT1H. Default: PT3M.
query string: (Updatable) The Monitoring Query Language (MQL) expression to evaluate for the alarm. The Alarms feature of the Monitoring service interprets results for each returned time series as Boolean values, where zero represents false and a non-zero value represents true. A true value means that the trigger rule condition has been met. The query must specify a metric, statistic, interval, and trigger rule (threshold or absence). Supported values for interval: 1m-60m (also 1h). You can optionally specify dimensions and grouping functions. Supported grouping functions: grouping(), groupBy(). Example of threshold alarm: CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() < 25 CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() > 75
scaling_configuration_type string: (Updatable) The type of scaling configuration.
threshold number: (Updatable) A metric value at which the scaling operation will be triggered.

instanceCountAdjustment Integer: (Updatable) The value is used for adjusting the count of instances by.
pendingDuration String: (Updatable) The period of time that the condition defined in the alarm must persist before the alarm state changes from "OK" to "FIRING" or vice versa. For example, a value of 5 minutes means that the alarm must persist in breaching the condition for five minutes before the alarm updates its state to "FIRING"; likewise, the alarm must persist in not breaching the condition for five minutes before the alarm updates its state to "OK." The duration is specified as a string in ISO 8601 format (PT10M for ten minutes or PT1H for one hour). Minimum: PT3M. Maximum: PT1H. Default: PT3M.
query String: (Updatable) The Monitoring Query Language (MQL) expression to evaluate for the alarm. The Alarms feature of the Monitoring service interprets results for each returned time series as Boolean values, where zero represents false and a non-zero value represents true. A true value means that the trigger rule condition has been met. The query must specify a metric, statistic, interval, and trigger rule (threshold or absence). Supported values for interval: 1m-60m (also 1h). You can optionally specify dimensions and grouping functions. Supported grouping functions: grouping(), groupBy(). Example of threshold alarm: CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() < 25 CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() > 75
scalingConfigurationType String: (Updatable) The type of scaling configuration.
threshold Integer: (Updatable) A metric value at which the scaling operation will be triggered.

instanceCountAdjustment number: (Updatable) The value is used for adjusting the count of instances by.
pendingDuration string: (Updatable) The period of time that the condition defined in the alarm must persist before the alarm state changes from "OK" to "FIRING" or vice versa. For example, a value of 5 minutes means that the alarm must persist in breaching the condition for five minutes before the alarm updates its state to "FIRING"; likewise, the alarm must persist in not breaching the condition for five minutes before the alarm updates its state to "OK." The duration is specified as a string in ISO 8601 format (PT10M for ten minutes or PT1H for one hour). Minimum: PT3M. Maximum: PT1H. Default: PT3M.
query string: (Updatable) The Monitoring Query Language (MQL) expression to evaluate for the alarm. The Alarms feature of the Monitoring service interprets results for each returned time series as Boolean values, where zero represents false and a non-zero value represents true. A true value means that the trigger rule condition has been met. The query must specify a metric, statistic, interval, and trigger rule (threshold or absence). Supported values for interval: 1m-60m (also 1h). You can optionally specify dimensions and grouping functions. Supported grouping functions: grouping(), groupBy(). Example of threshold alarm: CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() < 25 CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() > 75
scalingConfigurationType string: (Updatable) The type of scaling configuration.
threshold number: (Updatable) A metric value at which the scaling operation will be triggered.

instance_count_adjustment int: (Updatable) The value is used for adjusting the count of instances by.
pending_duration str: (Updatable) The period of time that the condition defined in the alarm must persist before the alarm state changes from "OK" to "FIRING" or vice versa. For example, a value of 5 minutes means that the alarm must persist in breaching the condition for five minutes before the alarm updates its state to "FIRING"; likewise, the alarm must persist in not breaching the condition for five minutes before the alarm updates its state to "OK." The duration is specified as a string in ISO 8601 format (PT10M for ten minutes or PT1H for one hour). Minimum: PT3M. Maximum: PT1H. Default: PT3M.
query str: (Updatable) The Monitoring Query Language (MQL) expression to evaluate for the alarm. The Alarms feature of the Monitoring service interprets results for each returned time series as Boolean values, where zero represents false and a non-zero value represents true. A true value means that the trigger rule condition has been met. The query must specify a metric, statistic, interval, and trigger rule (threshold or absence). Supported values for interval: 1m-60m (also 1h). You can optionally specify dimensions and grouping functions. Supported grouping functions: grouping(), groupBy(). Example of threshold alarm: CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() < 25 CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() > 75
scaling_configuration_type str: (Updatable) The type of scaling configuration.
threshold int: (Updatable) A metric value at which the scaling operation will be triggered.

instanceCountAdjustment Number: (Updatable) The value is used for adjusting the count of instances by.
pendingDuration String: (Updatable) The period of time that the condition defined in the alarm must persist before the alarm state changes from "OK" to "FIRING" or vice versa. For example, a value of 5 minutes means that the alarm must persist in breaching the condition for five minutes before the alarm updates its state to "FIRING"; likewise, the alarm must persist in not breaching the condition for five minutes before the alarm updates its state to "OK." The duration is specified as a string in ISO 8601 format (PT10M for ten minutes or PT1H for one hour). Minimum: PT3M. Maximum: PT1H. Default: PT3M.
query String: (Updatable) The Monitoring Query Language (MQL) expression to evaluate for the alarm. The Alarms feature of the Monitoring service interprets results for each returned time series as Boolean values, where zero represents false and a non-zero value represents true. A true value means that the trigger rule condition has been met. The query must specify a metric, statistic, interval, and trigger rule (threshold or absence). Supported values for interval: 1m-60m (also 1h). You can optionally specify dimensions and grouping functions. Supported grouping functions: grouping(), groupBy(). Example of threshold alarm: CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() < 25 CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() > 75
scalingConfigurationType String: (Updatable) The type of scaling configuration.
threshold Number: (Updatable) A metric value at which the scaling operation will be triggered.

ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleOutConfiguration, ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleOutConfigurationArgs

InstanceCountAdjustment int: (Updatable) The value is used for adjusting the count of instances by.
PendingDuration string: (Updatable) The period of time that the condition defined in the alarm must persist before the alarm state changes from "OK" to "FIRING" or vice versa. For example, a value of 5 minutes means that the alarm must persist in breaching the condition for five minutes before the alarm updates its state to "FIRING"; likewise, the alarm must persist in not breaching the condition for five minutes before the alarm updates its state to "OK." The duration is specified as a string in ISO 8601 format (PT10M for ten minutes or PT1H for one hour). Minimum: PT3M. Maximum: PT1H. Default: PT3M.
Query string: (Updatable) The Monitoring Query Language (MQL) expression to evaluate for the alarm. The Alarms feature of the Monitoring service interprets results for each returned time series as Boolean values, where zero represents false and a non-zero value represents true. A true value means that the trigger rule condition has been met. The query must specify a metric, statistic, interval, and trigger rule (threshold or absence). Supported values for interval: 1m-60m (also 1h). You can optionally specify dimensions and grouping functions. Supported grouping functions: grouping(), groupBy(). Example of threshold alarm: CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() < 25 CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() > 75
ScalingConfigurationType string: (Updatable) The type of scaling configuration.
Threshold int: (Updatable) A metric value at which the scaling operation will be triggered.

InstanceCountAdjustment int: (Updatable) The value is used for adjusting the count of instances by.
PendingDuration string: (Updatable) The period of time that the condition defined in the alarm must persist before the alarm state changes from "OK" to "FIRING" or vice versa. For example, a value of 5 minutes means that the alarm must persist in breaching the condition for five minutes before the alarm updates its state to "FIRING"; likewise, the alarm must persist in not breaching the condition for five minutes before the alarm updates its state to "OK." The duration is specified as a string in ISO 8601 format (PT10M for ten minutes or PT1H for one hour). Minimum: PT3M. Maximum: PT1H. Default: PT3M.
Query string: (Updatable) The Monitoring Query Language (MQL) expression to evaluate for the alarm. The Alarms feature of the Monitoring service interprets results for each returned time series as Boolean values, where zero represents false and a non-zero value represents true. A true value means that the trigger rule condition has been met. The query must specify a metric, statistic, interval, and trigger rule (threshold or absence). Supported values for interval: 1m-60m (also 1h). You can optionally specify dimensions and grouping functions. Supported grouping functions: grouping(), groupBy(). Example of threshold alarm: CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() < 25 CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() > 75
ScalingConfigurationType string: (Updatable) The type of scaling configuration.
Threshold int: (Updatable) A metric value at which the scaling operation will be triggered.

instance_count_adjustment number: (Updatable) The value is used for adjusting the count of instances by.
pending_duration string: (Updatable) The period of time that the condition defined in the alarm must persist before the alarm state changes from "OK" to "FIRING" or vice versa. For example, a value of 5 minutes means that the alarm must persist in breaching the condition for five minutes before the alarm updates its state to "FIRING"; likewise, the alarm must persist in not breaching the condition for five minutes before the alarm updates its state to "OK." The duration is specified as a string in ISO 8601 format (PT10M for ten minutes or PT1H for one hour). Minimum: PT3M. Maximum: PT1H. Default: PT3M.
query string: (Updatable) The Monitoring Query Language (MQL) expression to evaluate for the alarm. The Alarms feature of the Monitoring service interprets results for each returned time series as Boolean values, where zero represents false and a non-zero value represents true. A true value means that the trigger rule condition has been met. The query must specify a metric, statistic, interval, and trigger rule (threshold or absence). Supported values for interval: 1m-60m (also 1h). You can optionally specify dimensions and grouping functions. Supported grouping functions: grouping(), groupBy(). Example of threshold alarm: CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() < 25 CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() > 75
scaling_configuration_type string: (Updatable) The type of scaling configuration.
threshold number: (Updatable) A metric value at which the scaling operation will be triggered.

instanceCountAdjustment Integer: (Updatable) The value is used for adjusting the count of instances by.
pendingDuration String: (Updatable) The period of time that the condition defined in the alarm must persist before the alarm state changes from "OK" to "FIRING" or vice versa. For example, a value of 5 minutes means that the alarm must persist in breaching the condition for five minutes before the alarm updates its state to "FIRING"; likewise, the alarm must persist in not breaching the condition for five minutes before the alarm updates its state to "OK." The duration is specified as a string in ISO 8601 format (PT10M for ten minutes or PT1H for one hour). Minimum: PT3M. Maximum: PT1H. Default: PT3M.
query String: (Updatable) The Monitoring Query Language (MQL) expression to evaluate for the alarm. The Alarms feature of the Monitoring service interprets results for each returned time series as Boolean values, where zero represents false and a non-zero value represents true. A true value means that the trigger rule condition has been met. The query must specify a metric, statistic, interval, and trigger rule (threshold or absence). Supported values for interval: 1m-60m (also 1h). You can optionally specify dimensions and grouping functions. Supported grouping functions: grouping(), groupBy(). Example of threshold alarm: CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() < 25 CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() > 75
scalingConfigurationType String: (Updatable) The type of scaling configuration.
threshold Integer: (Updatable) A metric value at which the scaling operation will be triggered.

instanceCountAdjustment number: (Updatable) The value is used for adjusting the count of instances by.
pendingDuration string: (Updatable) The period of time that the condition defined in the alarm must persist before the alarm state changes from "OK" to "FIRING" or vice versa. For example, a value of 5 minutes means that the alarm must persist in breaching the condition for five minutes before the alarm updates its state to "FIRING"; likewise, the alarm must persist in not breaching the condition for five minutes before the alarm updates its state to "OK." The duration is specified as a string in ISO 8601 format (PT10M for ten minutes or PT1H for one hour). Minimum: PT3M. Maximum: PT1H. Default: PT3M.
query string: (Updatable) The Monitoring Query Language (MQL) expression to evaluate for the alarm. The Alarms feature of the Monitoring service interprets results for each returned time series as Boolean values, where zero represents false and a non-zero value represents true. A true value means that the trigger rule condition has been met. The query must specify a metric, statistic, interval, and trigger rule (threshold or absence). Supported values for interval: 1m-60m (also 1h). You can optionally specify dimensions and grouping functions. Supported grouping functions: grouping(), groupBy(). Example of threshold alarm: CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() < 25 CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() > 75
scalingConfigurationType string: (Updatable) The type of scaling configuration.
threshold number: (Updatable) A metric value at which the scaling operation will be triggered.

instance_count_adjustment int: (Updatable) The value is used for adjusting the count of instances by.
pending_duration str: (Updatable) The period of time that the condition defined in the alarm must persist before the alarm state changes from "OK" to "FIRING" or vice versa. For example, a value of 5 minutes means that the alarm must persist in breaching the condition for five minutes before the alarm updates its state to "FIRING"; likewise, the alarm must persist in not breaching the condition for five minutes before the alarm updates its state to "OK." The duration is specified as a string in ISO 8601 format (PT10M for ten minutes or PT1H for one hour). Minimum: PT3M. Maximum: PT1H. Default: PT3M.
query str: (Updatable) The Monitoring Query Language (MQL) expression to evaluate for the alarm. The Alarms feature of the Monitoring service interprets results for each returned time series as Boolean values, where zero represents false and a non-zero value represents true. A true value means that the trigger rule condition has been met. The query must specify a metric, statistic, interval, and trigger rule (threshold or absence). Supported values for interval: 1m-60m (also 1h). You can optionally specify dimensions and grouping functions. Supported grouping functions: grouping(), groupBy(). Example of threshold alarm: CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() < 25 CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() > 75
scaling_configuration_type str: (Updatable) The type of scaling configuration.
threshold int: (Updatable) A metric value at which the scaling operation will be triggered.

instanceCountAdjustment Number: (Updatable) The value is used for adjusting the count of instances by.
pendingDuration String: (Updatable) The period of time that the condition defined in the alarm must persist before the alarm state changes from "OK" to "FIRING" or vice versa. For example, a value of 5 minutes means that the alarm must persist in breaching the condition for five minutes before the alarm updates its state to "FIRING"; likewise, the alarm must persist in not breaching the condition for five minutes before the alarm updates its state to "OK." The duration is specified as a string in ISO 8601 format (PT10M for ten minutes or PT1H for one hour). Minimum: PT3M. Maximum: PT1H. Default: PT3M.
query String: (Updatable) The Monitoring Query Language (MQL) expression to evaluate for the alarm. The Alarms feature of the Monitoring service interprets results for each returned time series as Boolean values, where zero represents false and a non-zero value represents true. A true value means that the trigger rule condition has been met. The query must specify a metric, statistic, interval, and trigger rule (threshold or absence). Supported values for interval: 1m-60m (also 1h). You can optionally specify dimensions and grouping functions. Supported grouping functions: grouping(), groupBy(). Example of threshold alarm: CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() < 25 CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() > 75
scalingConfigurationType String: (Updatable) The type of scaling configuration.
threshold Number: (Updatable) A metric value at which the scaling operation will be triggered.

ComputeTargetComputeTargetSystemData, ComputeTargetComputeTargetSystemDataArgs

ComputeType string: Type of compute target.
CurrentInstanceCount int: Current count of the instances in managed compute cluster type compute target.

ComputeType string: Type of compute target.
CurrentInstanceCount int: Current count of the instances in managed compute cluster type compute target.

compute_type string: Type of compute target.
current_instance_count number: Current count of the instances in managed compute cluster type compute target.

computeType String: Type of compute target.
currentInstanceCount Integer: Current count of the instances in managed compute cluster type compute target.

computeType string: Type of compute target.
currentInstanceCount number: Current count of the instances in managed compute cluster type compute target.

compute_type str: Type of compute target.
current_instance_count int: Current count of the instances in managed compute cluster type compute target.

computeType String: Type of compute target.
currentInstanceCount Number: Current count of the instances in managed compute cluster type compute target.

Import

ComputeTargets can be imported using the id, e.g.

$ pulumi import oci:DataScience/computeTarget:ComputeTarget test_compute_target "id"

To learn more about importing existing cloud resources, see Importing resources.

Package Details

Repository: oci pulumi/pulumi-oci
License: Apache-2.0
Notes: This Pulumi package is based on the oci Terraform Provider.

Viewing docs for Oracle Cloud Infrastructure v4.13.0
published on Thursday, May 28, 2026 by Pulumi

Schema (JSON)

pulumi/pulumi-oci

oci.DataScience.ComputeTarget

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Example Usage

Create ComputeTarget Resource

Constructor syntax

Parameters

Constructor example

ComputeTarget Resource Properties

Inputs

Outputs

Look up Existing ComputeTarget Resource

Supporting Types

ComputeTargetComputeConfigurationDetails, ComputeTargetComputeConfigurationDetailsArgs

ComputeTargetComputeConfigurationDetailsInstanceConfiguration, ComputeTargetComputeConfigurationDetailsInstanceConfigurationArgs

ComputeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShapeDetails, ComputeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShapeDetailsArgs

ComputeTargetComputeConfigurationDetailsScalingPolicy, ComputeTargetComputeConfigurationDetailsScalingPolicyArgs

ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicy, ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyArgs

ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRule, ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleArgs

ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleInConfiguration, ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleInConfigurationArgs

ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleOutConfiguration, ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleOutConfigurationArgs

ComputeTargetComputeTargetSystemData, ComputeTargetComputeTargetSystemDataArgs

Import

Package Details

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Try Pulumi Cloud free.
Your team will thank you.

oci.DataScience.ComputeTarget

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Example Usage

Create ComputeTarget Resource

Constructor syntax

Parameters

Constructor example

ComputeTarget Resource Properties

Inputs

Outputs

Look up Existing ComputeTarget Resource

Supporting Types

ComputeTargetComputeConfigurationDetails, ComputeTargetComputeConfigurationDetailsArgs

ComputeTargetComputeConfigurationDetailsInstanceConfiguration, ComputeTargetComputeConfigurationDetailsInstanceConfigurationArgs

ComputeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShapeDetails, ComputeTargetComputeConfigurationDetailsInstanceConfigurationInstanceShapeDetailsArgs

ComputeTargetComputeConfigurationDetailsScalingPolicy, ComputeTargetComputeConfigurationDetailsScalingPolicyArgs

ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicy, ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyArgs

ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRule, ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleArgs

ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleInConfiguration, ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleInConfigurationArgs

ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleOutConfiguration, ComputeTargetComputeConfigurationDetailsScalingPolicyAutoScalingPolicyRuleScaleOutConfigurationArgs

ComputeTargetComputeTargetSystemData, ComputeTargetComputeTargetSystemDataArgs

Import

Package Details

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Try Pulumi Cloud free.Your team will thank you.

Try Pulumi Cloud free.
Your team will thank you.